mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-12-20 02:10:15 +01:00
* WIP: gemini-1.5 support * feat: extended vertex ai support * fix: handle possibly undefined modelName * fix: gpt-4-turbo-preview invalid vision model * feat: specify `fileConfig.imageOutputType` and make PNG default image conversion type * feat: better truncation for errors including base64 strings * fix: gemini inlineData formatting * feat: RAG augmented prompt for gemini-1.5 * feat: gemini-1.5 rates and token window * chore: adjust tokens, update docs, update vision Models * chore: add back `ChatGoogleVertexAI` for chat models via vertex ai * refactor: ask/edit controllers to not use `unfinished` field for google endpoint * chore: remove comment * chore(ci): fix AppService test * chore: remove comment * refactor(GoogleSearch): use `GOOGLE_SEARCH_API_KEY` instead, issue warning for old variable * chore: bump data-provider to 0.5.4 * chore: update docs * fix: condition for gemini-1.5 using generative ai lib * chore: update docs * ci: add additional AppService test for `imageOutputType` * refactor: optimize new config value `imageOutputType` * chore: bump CONFIG_VERSION * fix(assistants): avatar upload
90 lines
3 KiB
JavaScript
90 lines
3 KiB
JavaScript
const path = require('path');
|
|
const { CacheKeys, configSchema, EImageOutputType } = require('librechat-data-provider');
|
|
const getLogStores = require('~/cache/getLogStores');
|
|
const loadYaml = require('~/utils/loadYaml');
|
|
const { logger } = require('~/config');
|
|
const axios = require('axios');
|
|
const yaml = require('js-yaml');
|
|
|
|
const projectRoot = path.resolve(__dirname, '..', '..', '..', '..');
|
|
const defaultConfigPath = path.resolve(projectRoot, 'librechat.yaml');
|
|
|
|
let i = 0;
|
|
|
|
/**
|
|
* Load custom configuration files and caches the object if the `cache` field at root is true.
|
|
* Validation via parsing the config file with the config schema.
|
|
* @function loadCustomConfig
|
|
* @returns {Promise<TCustomConfig | null>} A promise that resolves to null or the custom config object.
|
|
* */
|
|
async function loadCustomConfig() {
|
|
// Use CONFIG_PATH if set, otherwise fallback to defaultConfigPath
|
|
const configPath = process.env.CONFIG_PATH || defaultConfigPath;
|
|
|
|
let customConfig;
|
|
|
|
if (/^https?:\/\//.test(configPath)) {
|
|
try {
|
|
const response = await axios.get(configPath);
|
|
customConfig = response.data;
|
|
} catch (error) {
|
|
i === 0 && logger.error(`Failed to fetch the remote config file from ${configPath}`, error);
|
|
i === 0 && i++;
|
|
return null;
|
|
}
|
|
} else {
|
|
customConfig = loadYaml(configPath);
|
|
if (!customConfig) {
|
|
i === 0 &&
|
|
logger.info(
|
|
'Custom config file missing or YAML format invalid.\n\nCheck out the latest config file guide for configurable options and features.\nhttps://docs.librechat.ai/install/configuration/custom_config.html\n\n',
|
|
);
|
|
i === 0 && i++;
|
|
return null;
|
|
}
|
|
}
|
|
|
|
if (typeof customConfig === 'string') {
|
|
try {
|
|
customConfig = yaml.load(customConfig);
|
|
} catch (parseError) {
|
|
i === 0 && logger.info(`Failed to parse the YAML config from ${configPath}`, parseError);
|
|
i === 0 && i++;
|
|
return null;
|
|
}
|
|
}
|
|
|
|
const result = configSchema.strict().safeParse(customConfig);
|
|
if (result?.error?.errors?.some((err) => err?.path && err.path?.includes('imageOutputType'))) {
|
|
throw new Error(
|
|
`
|
|
Please specify a correct \`imageOutputType\` value (case-sensitive).
|
|
|
|
The available options are:
|
|
- ${EImageOutputType.JPEG}
|
|
- ${EImageOutputType.PNG}
|
|
- ${EImageOutputType.WEBP}
|
|
|
|
Refer to the latest config file guide for more information:
|
|
https://docs.librechat.ai/install/configuration/custom_config.html`,
|
|
);
|
|
}
|
|
if (!result.success) {
|
|
i === 0 && logger.error(`Invalid custom config file at ${configPath}`, result.error);
|
|
i === 0 && i++;
|
|
return null;
|
|
} else {
|
|
logger.info('Custom config file loaded:');
|
|
logger.info(JSON.stringify(customConfig, null, 2));
|
|
logger.debug('Custom config:', customConfig);
|
|
}
|
|
|
|
if (customConfig.cache) {
|
|
const cache = getLogStores(CacheKeys.CONFIG_STORE);
|
|
await cache.set(CacheKeys.CUSTOM_CONFIG, customConfig);
|
|
}
|
|
|
|
return customConfig;
|
|
}
|
|
|
|
module.exports = loadCustomConfig;
|